sklearn

Description

We want to add support for auto ML. My suggestion is to use autokeras. I'm letting this open for newcomers who want to contribute to this project.

The parameters of the model need to be read from a yaml file (check utils.py in igel, there is a helper function to read a yaml or json file). These parameters will be used to construct and train a model. The results should be th

/kind feature

Describe the solution you'd like

In pkg/apis/serving/v1beta1/inference_service_defaults.go the default InferenceService resource requests and limits are hard coded to be 1 cpu and 2Gi memory. These are reasonable defaults. However, the entire existence of these defaults should be disablable. Moreover, administrators should be able to quickly adjust defaults globally via t